Singlet Fission as an Exciton-Management Platform for Next-Generation Optoelectronic Materials
Abstract
Singlet fission (SF), the spin-conserving conversion of one photoexcited singlet exciton into two triplet excitons has emerged as a versatile exciton-management strategy for optoelectronics and quantum technologies. While initially explored to overcome the efficiency limit of single-junction photovoltaics, SF is now recognized as a broader platform for engineering correlated excited states. Efficient triplet generation and spin-correlated pairs create opportunities in photovoltaics, photodetection, photocatalysis, photon up-conversion, quantum light sources, spin-photon interfaces, and bioimaging. This Review summarizes the fundamental mechanisms, energetic requirements, and molecular design principles governing SF, together with the influence of supramolecular organization and external stimuli on its dynamics. Particular emphasis is placed on the multiscale relationships among molecular energetics, excited-state character, molecular packing, triplet-pair separation, triplet transport, and interfacial energy or charge transfer, which ultimately determine device performance. We further discuss recent advances in SF-enabled optoelectronic and quantum applications. Despite rapid progress, major challenges remain in establishing a unified mechanistic framework, understanding SF in polymeric and disordered systems, and expanding the library of stable, high-performance SF materials. Finally, we highlight future opportunities in machine-learning-assisted materials discovery,…
Read the paper
Related studies
- Quantum dots: synthesis, bioapplications, and toxicity
- A Guide to In Silico Drug Design
- Quantum Computing for Healthcare: A Review
- Automated in Silico Design of Homogeneous Catalysts
- Identification of Novel 3-Hydroxy-pyran-4-One Derivatives as Potent HIV-1 Integrase Inhibitors Using in silico Structure-Based Combinatorial Library Design Approach
- In silico structural elucidation of RNA-dependent RNA polymerase towards the identification of potential Crimean-Congo Hemorrhagic Fever Virus inhibitors
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.